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GRAPHIC WALKER
data-viz
Create Data Visualizations

Create Data Visualizations with Graphic Walker

In this technical documentation, we will guide you through the process of building customized data visualizations using Graphic Walker. You can easily create the following types of charts:

Bar Chart Line Chart Area Chart
Trail Scatter Plot Cirlce
Tick Plot Rectangle Arc Diagram
Box Plot Heatmap

You can explore our Data Visualization Gallery for more Examples.

Tabs

Graphic Walker workspace is the laboratory for you to create, edit charts and explore data patterns, uncover insights.

Each chart is managed by a Tab on the top of the screen. Create a new chart by clicking on the New button.

Tabs in Graphic Walker

Tools bar

The Tools bar is located at the top of the webpage. Graphic Walker Tools Bar

The functionality of each button is explained as follows:

Undo/RedoAggregationMark TypeStack ModeTransposeSort OrderAxis ResizingLayout ModeExploration ModeExport
Undo redo buttonaggregation buttonMark Type buttonStack Type buttonStack Type buttonStack Type buttonStack Type buttonStack Type buttonStack Type buttonStack Type button
Undo or redo an operation.Aggregate your data using methods like sum, mean, and count.Switch between different chart types.Create a Stack chart or Normalize a chart.Switch the x-axis and y-axis of the chart.Sort in Ascending or Descending OrderResize the axes.Resize the chart or use the auto-sized chart.Explore data. You can choose either point mode or brush mode.Export the chart to either PNG or SVG file.

Basic Operations

To learn the basic operations of Graphic Walker, we are about to create a simple bar chart showing the registered users by month. To get started, click on the Create Dataset button. Import the "Bike Sharing" dataset from the Public Datasets.

Create a basic chart

We can try to create a basic bar chart. Select Bar Chart from the Mark Types button on the tools bar.

Change Chart Type

Drag and drop measures

From the Field List shelf on the left, drag and drop registered to the "Rows" shelf. Drag and drop month to the "Columns" shelf. Drag and drop operations with Graphic Walker

Note that the registered has been changed to SUM(registered). This is because the Aggregation button is on, and the default aggregation for this measure is SUM. You can click on the downward arrow on the right side of registered to view to change the aggregation.

Change aggregation

To mark the month measure with different colors, drag and drop month to the Color shelf. Color measure in Graphic Walker

Resize a chart

Click on the Resize button on the tools bar to change the chart size.

Resize a chart

Remove a measure

Remove a measure by dragging and dropping it off the shelf. Remove a measure

Change the chart type

A line chart might demonstrate the trends of the registered user numbers better than a bar chart. To switch the existing chart to a line chart, click on the Mark Types option on the Tools bar and choose Line. Change chart type

Create a Concat View

You may want to compare the differences between registered and casual users. Simply add more measures to the rows/columns and compare them. Create a concat view

Explore Data

Graphic Walker not only has the capacity to build highly-customizable charts. It is also a powerful tool for data exploration to uncover the underlying patterns, trends, and insights.

On the tools bar, select the Exploration Mode option and choose one of the Data Exploration options:

Point Mode

With the point mode, you can explore data by pointing their mouse cursor at a specific segment of the data. Simply clicking on the selected segment allows for the retrieval of insights. Explore Data with Point Mode in Graphic Walker

Brush Mode

With the brush mode, you can explore data with the following steps:

  1. Select a segment of the data by dragging and dropping.
  2. Drag the data segment, Graphic Walker will give you insights. Explore Data with Brush Mode in Graphic Walker

Get Insights

You can also use the Explainer feature to get insights from data.

In the given example, we aim to investigate the reason behind the lower number of registered users in January than what was expected. To do so, make sure Exploration mode is off, and simply double-click on January, and the explainer will attempt to identify potential explanations. Get insights with Explainer

According to the Data Explainer, a possible cause could be that the percentage of working days in January is lower than the average. This suggests that the reduced number of working days may have impacted user registrations.